Composting is an organic sludge management option in which volatile solids are converted to carbon dioxide and water. As the sugar cane press mud undergoes aerobic composting, the bed heats–up to a temperature in the range of 50–70°C, releasing thermal energy and the heat liberated was extracted using a heat pipe. A neural network approach is applied to analyse the data obtained from the microbially heated press mud compost–bed. This paper discusses, the design, implementation and performance of the proposed neural network and Artificial Neural Fuzzy Inference System (ANFIS) for the above process.

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